Accepted Papers

Link to the proceedings:

Accepted Papers

(in no particular order)

  1. Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models
    • Huiming Jin and Katharina Kann
  2. Character-based recurrent neural networks for morphological relational reasoning
    • Olof Mogren and Richard Johansson
  3. Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models
    • Katharina Kann and Hinrich Schütze
  4. Learning variable length units for SMT between related languages via Byte Pair Encoding
    • Anoop Kunchukuttan and Pushpak Bhattacharyya
  5. Sub-character Neural Language Modelling in Japanese
    • Viet Nguyen, Julian Brooke and Timothy Baldwin
  6. What do we need to know about an unknown word when parsing morphogically rich languages?
    • Bich-Ngoc Do, Ines Rehbein and Anette Frank
  7. Glyph-aware Embedding of Chinese Characters
    • Zheng Cai and Zhongtian Dai
  8. Neural Paraphrase Identification of Questions with Noisy Pretraining
    • Gaurav Singh Tomar, Thyago Duque, Oscar Täckström, Jakob Uszkoreit and Dipanjan Das
  9. Improving Opinion-Target Extraction with Character-Level Word Embeddings
    • Soufian Jebbara and Philipp Cimiano
  10. Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition
    • Shotaro Misawa, Motoki Taniguchi, Yasuhide Miura and Tomoko Ohkuma
  11. Weakly supervised learning of allomorphy
    • Miikka Silfverberg and Mans Hulden
  12. Syllable-level Neural Language Model for Agglutinative Language
    • Seunghak Yu, Nilesh Kulkarni, Haejun Lee and Jihie Kim
  13. Word Representation Models for Morphologically Rich Languages in Neural Machine Translation
    • Ekaterina Vylomova, Trevor Cohn and Gholamreza Haffari
  14. Inflection Generation for Spanish Verbs using Supervised Learning
    • Cristina Barros, Dimitra Gkatzia and Elena Lloret
  15. Supersense Tagging with a Combination of Character, Subword, and Word-level Representations
    • Youhyun Shin and Sang-goo Lee
  16. Character and Subword-Based Word Representation for Neural Language Modeling Prediction
    • Matthieu Labeau and Alexandre Allauzen
  17. A Syllable-based Technique for Word Embeddings of Korean Words
    • Sanghyuk Choi, Taeuk Kim, Jinseok Seol and Sang-goo Lee
  18. Automated Word Stress Detection in Russian
    • Maria Ponomareva, Kirill Milintsevich, Ekaterina Chernyak and Anatoly Starostin
  19. A General-Purpose Tagger with Convolutional Neural Networks
    • Xiang Yu, Agnieszka Falenska and Ngoc Thang Vu
  20. Spell-Checking based on Syllabification and Character-level Graphs for a Peruvian Agglutinative Language
    • Carlo Alva and Arturo Oncevay
  21. Byte-based Neural Machine Translation
    • Marta R. Costa-jussà, Carlos Escolano and José A. R. Fonollosa
  22. Character Based Pattern Mining for Neology Detection
    • Gaël Lejeune and Emmanuel Cartier
  23. Reconstruction of Word Embeddings from Sub-Word Parameters
    • Karl Stratos
  24. Vowel and Consonant Classification through Spectral Decomposition
    • Patricia Thaine and Gerald Penn

Extended Abstracts

  1. Natural Language Generation through Character-Based RNNs with Finite-State Prior Knowledge
    • Raghav Goyal, Marc Dymetman and Eric Gaussier
  2. Align and Copy: Hard Attention Models for Morphological Inflection Generation
    • Tatyana Ruzsics, Peter Makarov and Simon Clematide
  3. Patterns versus Characters in Subword-aware Neural Language Modeling
    • Zhenisbek Assylbekov and Rustem Takhanov
  4. Language Generation with Recurrent Generative Adversarial Networks without Pre-training
    • Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant and Lior Wolf